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Point2SSM: Learning Morphological Variations of Anatomies from Point
  Cloud

Point2SSM: Learning Morphological Variations of Anatomies from Point Cloud

23 May 2023
Jadie Adams
Shireen Y. Elhabian
    3DPC
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Papers citing "Point2SSM: Learning Morphological Variations of Anatomies from Point Cloud"

14 / 14 papers shown
Title
PRISM: Probabilistic Representation for Integrated Shape Modeling and Generation
PRISM: Probabilistic Representation for Integrated Shape Modeling and Generation
Lei Cheng
Mahdi Saleh
Qing Cheng
Lu Sang
Hongli Xu
Daniel Cremers
F. Tombari
23
0
0
06 Apr 2025
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes
Krithika S. Iyer
Mokshagna Sai Teja Karanam
Shireen Y. Elhabian
64
0
0
11 Feb 2025
Probabilistic 3D Correspondence Prediction from Sparse Unsegmented
  Images
Probabilistic 3D Correspondence Prediction from Sparse Unsegmented Images
Krithika S. Iyer
Shireen Y. Elhabian
36
0
0
02 Jul 2024
Point2SSM++: Self-Supervised Learning of Anatomical Shape Models from
  Point Clouds
Point2SSM++: Self-Supervised Learning of Anatomical Shape Models from Point Clouds
Jadie Adams
Shireen Y. Elhabian
68
0
0
15 May 2024
Weakly Supervised Bayesian Shape Modeling from Unsegmented Medical
  Images
Weakly Supervised Bayesian Shape Modeling from Unsegmented Medical Images
Jadie Adams
Krithika S. Iyer
Shireen Y. Elhabian
27
2
0
15 May 2024
SCorP: Statistics-Informed Dense Correspondence Prediction Directly from
  Unsegmented Medical Images
SCorP: Statistics-Informed Dense Correspondence Prediction Directly from Unsegmented Medical Images
Krithika S. Iyer
Jadie Adams
Shireen Y. Elhabian
MedIm
39
4
0
27 Apr 2024
Modeling 3D cardiac contraction and relaxation with point cloud
  deformation networks
Modeling 3D cardiac contraction and relaxation with point cloud deformation networks
M. Beetz
Abhirup Banerjee
Vicente Grau
3DPC
36
5
0
20 Jul 2023
From Images to Probabilistic Anatomical Shapes: A Deep Variational
  Bottleneck Approach
From Images to Probabilistic Anatomical Shapes: A Deep Variational Bottleneck Approach
Jadie Adams
Shireen Y. Elhabian
92
19
0
13 May 2022
DPC: Unsupervised Deep Point Correspondence via Cross and Self
  Construction
DPC: Unsupervised Deep Point Correspondence via Cross and Self Construction
Itai Lang
Dvir Ginzburg
S. Avidan
D. Raviv
3DPC
39
32
0
16 Oct 2021
DeepSSM: A Blueprint for Image-to-Shape Deep Learning Models
DeepSSM: A Blueprint for Image-to-Shape Deep Learning Models
Riddhish Bhalodia
Shireen Y. Elhabian
Jadie Adams
Wenzheng Tao
L. Kavan
R. Whitaker
MedIm
95
24
0
14 Oct 2021
KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control
KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control
Tomas Jakab
Richard Tucker
A. Makadia
Jiajun Wu
Noah Snavely
Angjoo Kanazawa
3DPC
66
56
0
22 Apr 2021
CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for
  3D Point Clouds
CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for 3D Point Clouds
Yiming Zeng
Y. Qian
Zhiyu Zhu
Junhui Hou
Hui Yuan
Ying He
3DPC
112
66
0
31 Dec 2020
Learning Implicit Functions for Topology-Varying Dense 3D Shape
  Correspondence
Learning Implicit Functions for Topology-Varying Dense 3D Shape Correspondence
Feng Liu
Xiaoming Liu
3DPC
45
36
0
23 Oct 2020
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,103
0
02 Dec 2016
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